Daily Signals Post-Close 500+ US Stocks Multi-Factor

Daily US Stock Signals: Post-Close Signal Dashboard

A rules-based signal engine that scans 500+ US equities after each market close. Every stock is evaluated against 93 technical signals; when 4 or more are bullish, the stock is flagged BUY. All others are marked WATCH. This is a research tool — not personalized investment advice.

Note: “Quantum” is used metaphorically. This system does not use quantum computing. The name refers to the layered, multi-factor signal stacking and cross-validation approach.

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BUY Signals
Today
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Total Stocks
Scanned
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Backtest
Win Rate
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Sharpe
Ratio
⚠ Important Disclaimer

Quantum Signals is a research and informational tool only. It does NOT constitute financial advice, investment recommendation, or solicitation to buy or sell any security. All signals are generated by algorithmic rules applied to end-of-day data and may contain errors or lag real-time conditions. Entry, stop, and target levels shown are model-generated reference levels based on the prior close — they are not execution prices and not guarantees. Historical backtest metrics (WR%, BT Return%, Sharpe) describe past model behavior under specific assumptions and do not predict or guarantee future results. Always conduct your own due diligence and consult a licensed financial advisor before making investment decisions. Trading involves substantial risk of loss.

⚡ Active Signals — BUY Only

Showing stocks with BUY decisions only (4+ active bullish signals). WATCH stocks are hidden. Market date: loading...

End-of-day data. Signals reflect prior close, not real-time prices. Updated: --

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How to Read Today's Stock Signals

The table above shows every stock with 4 or more active bullish signals as of the most recent market close. Here is how to interpret each row:

  1. Check the Decision column. Every row shown is BUY. Stocks below the threshold (WATCH) are hidden.
  2. Look at Signals count. A stock showing 15/93 has broader agreement than one showing 4/93. Higher counts mean more bullish signals are active, but this does not guarantee a better outcome.
  3. Use Tier as context. Tier reflects historical backtest performance for that stock. S-Tier had the strongest historical metrics. Tier does not control the BUY/WATCH decision and is not a forward-looking guarantee.
  4. Review Entry, Stop, Target. These are reference levels derived from the prior close using fixed percentages (stop = −14%, target = +7.5%). They are not execution prices.
  5. Check WR% and BT Ret%. These describe how the stock performed historically in backtesting. They are not predictions. Look at the Trades column to see how many historical trades support these figures.
Key reminder

All data reflects the prior trading day's close. Signals may be invalidated by overnight news, pre-market gaps, or intraday price movement. Always combine with your own research.

What Is Quantum Signals?

Quantum Signals is a research-focused, post-close multi-factor technical signal engine for US equities. Every trading day after market close, the system scans 500+ stocks across all sectors and evaluates 93 signals per ticker using end-of-day OHLCV data.

The decision rule is straightforward: if 4 or more signals are simultaneously bullish, the stock is flagged as BUY. Stocks with fewer than 4 active bullish signals are classified as WATCH (no active setup) and are not shown in the dashboard.

Stocks that appear in the BUY list are also assigned a tier (S, A, B, C) based on that stock's historical backtest performance within the selected strategy variant. Tier is a descriptive ranking — it does not directly gate the BUY/WATCH decision.

The engine is fully rules-based with no discretionary override. It is designed for research and informational use.

How BUY and WATCH Decisions Are Made

The core principle is multi-factor confluence. No single indicator is reliable on its own. The system counts how many signals are currently bullish for each stock. If 4 or more are active, the stock is flagged BUY. Otherwise it is WATCH.

decision_logic.pyPython
def generate_decision(signals_count, confluence_threshold=4):
    """
    signals_count: number of currently active bullish signals
    confluence_threshold: minimum required for BUY (currently 4)
    Returns: 'BUY' if threshold met, else 'WATCH'
    """
    if signals_count >= confluence_threshold:
        return "BUY"
    return "WATCH"

Tier Classification

Tier is a descriptive ranking based on each stock's historical backtest performance within the selected strategy variant. It does not directly control the BUY/WATCH decision — a C-Tier stock with 4+ signals still appears as BUY.

What the Engine Evaluates

The engine evaluates 93 signals per stock. Each produces a binary output (1 = bullish, 0 = not active). The BUY/WATCH decision is based solely on the count of active bullish signals vs. the confluence threshold (currently 4). Categories include:

Momentum Oscillators

RSI (multiple periods), Stochastic RSI, Williams %R, CCI, MFI. These measure whether a stock is in an oversold, neutral, or overbought zone. RSI(14) is displayed in the dashboard for context but does not independently gate the BUY/WATCH decision — it is one of 93 signals.

Trend & Moving Averages

SMA/EMA crossovers (multiple pairs), ADX trend strength, price vs. 50-day and 200-day SMA. These identify whether a stock is in an uptrend, downtrend, or transition.

Volatility & Mean Reversion

Bollinger Bands (position, squeeze), ATR-based regime detection, Keltner Channel interactions. These identify whether current price is statistically extended relative to recent ranges.

Volume Analysis

Volume ratio vs. moving averages, OBV trend, accumulation/distribution. Volume confirmation helps distinguish genuine moves from low-participation noise.

Regime Filters

The system includes a library of regime and quality filters (volatility regime, trend quality, etc.). Important: the full filter stack is not applied as a hard gate in the live signal engine, because applying all filters simultaneously removes nearly all entries. In the current dashboard variant, the confluence count drives the decision; regime filters inform the backtest tier rankings but do not veto live signals.

Strategy Parameters

The following parameters define the current dashboard variant. These are fixed and transparent.

ParameterValueDescription
Confluence Threshold4+Minimum active bullish signals required for BUY
Reference StopEntry × (1 − 14%)Fixed percentage below entry; reference level, not an execution guarantee
Reference TargetEntry × (1 + 7.5%)Fixed percentage above entry; reference level only
Hold Period60 trading daysMaximum holding window used in backtests
Max Positions10Concurrent position limit used in backtests
Universe500+ US stocksAll sectors, minimum 500 days of historical data
Scan FrequencyDaily post-closeAfter 16:00 ET market close
Data SourceTwelve Data APIEnd-of-day OHLCV candles
Tier RankingS / A / B / CDescriptive rank based on stock-level backtest metrics

Signal Dashboard Column Definitions

ColumnDescription
DecisionBUY = 4+ active bullish signals. Only BUY rows are shown; WATCH stocks are hidden.
TierDescriptive ranking (S/A/B/C) based on stock-level backtest metrics for this strategy variant. Does not gate the BUY/WATCH decision.
SymbolUS-listed stock ticker.
PriceClosing price on the scan date. All reference levels are derived from this value.
RSI14-period Relative Strength Index. Shown for context only — RSI is one of 93 signals and does not independently determine BUY/WATCH.
SignalsCount of currently active bullish signals out of 93 (e.g., “21/93”). Higher counts indicate broader technical agreement.
EntryReference entry level = latest closing price. Not an execution price or next-day-open prediction.
StopReference stop = Entry × (1 − 14%). Model-generated; not an execution guarantee.
TargetReference target = Entry × (1 + 7.5%). Model-generated; not an execution guarantee.
WR%Win rate — percentage of backtest trades that hit the target before the stop or hold limit. Historical; does not predict future outcomes.
BT Ret%Backtest return — cumulative return for this stock across all backtest trades. Historical; not a forecast.
TradesNumber of backtest trades. Higher counts give more statistical weight to WR% and BT Ret%.

Risks, Limitations, and How to Interpret Backtest Data

Backtest ≠ Future Performance

All WR%, BT Return%, and Sharpe values describe historical model behavior under specific backtest assumptions. Real-world execution differs due to slippage, commissions, liquidity, gap risk, and changing market regimes. These metrics are descriptive context, not forecasts.

Data Sources & Refresh Cycle

Why Post-Close Instead of Intraday?

Quantum Signals operates on end-of-day data rather than intraday ticks:

Frequently Asked Questions About Daily Stock Signals

What are daily stock signals?

Daily stock signals are systematic, rules-based alerts generated after the market close. They identify stocks where multiple bullish signals are active on the same day. Quantum Signals scans 500+ US equities each evening and flags stocks with 4 or more active bullish signals as BUY.

How does a post-close stock signal dashboard work?

A post-close signal dashboard processes end-of-day price and volume data after the US market closes at 4:00 PM ET. It evaluates each stock's signals, counts how many are bullish, and flags stocks that meet a minimum confluence threshold. Results are published as a daily signal table.

What does BUY mean in this signal dashboard?

BUY means 4 or more bullish signals are currently active for that stock. It is a research signal, not investment advice or a trade recommendation. Stocks below the threshold are marked WATCH and hidden from the dashboard.

Are these stock signals free?

Yes. The Quantum Signals dashboard is free and updated daily after market close. It is provided for research and informational purposes only and does not constitute financial advice.

What is the difference between BUY and WATCH?

BUY = 4 or more active bullish signals (shown in the dashboard). WATCH = fewer than 4 active bullish signals (hidden). WATCH means no active setup, not a recommendation to hold an existing position.

How often are the signals updated?

Every trading day (Monday through Friday), after the US market closes at 4:00 PM ET. The dashboard reflects the most recent completed session. Signals are not updated intraday.

Can I use these signals for day trading?

No. Quantum Signals is a post-close, end-of-day system. All data reflects the prior day's close. It is not designed for intraday or real-time trading decisions. The hold period used in backtesting is 60 trading days.

What stocks are included in the scan?

The universe includes 500+ US-listed equities across all sectors. Stocks must have at least 500 trading days of historical data to be included. The universe is reviewed automatically and may change as stocks meet or fall below the data threshold.

Does this system use quantum computing or AI?

No. The name “Quantum” is metaphorical, referring to the layered, multi-factor signal stacking approach. The engine uses classical technical indicators and a simple confluence-counting rule. It does not use quantum computing, machine learning, or artificial intelligence.